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pro vyhledávání: '"Xu, Qifan"'
Autor:
Jiang, Lu, Xu, Di, Xu, Qifan, Chatziioannou, Arion, Iwamoto, Keisuke S., Hui, Susanta, Sheng, Ke
Image-guided mouse irradiation is essential to understand interventions involving radiation prior to human studies. Our objective is to employ Swin UNEt Transformers (Swin UNETR) to segment native micro-CT and contrast-enhanced micro-CT scans and ben
Externí odkaz:
http://arxiv.org/abs/2405.18676
Suppression of thoracic bone shadows on chest X-rays (CXRs) has been indicated to improve the diagnosis of pulmonary disease. Previous approaches can be categorized as unsupervised physical and supervised deep learning models. Nevertheless, with phys
Externí odkaz:
http://arxiv.org/abs/2302.09696
Publikováno v:
In Medical Image Analysis January 2025 99
The Plug-and-Play (PnP) framework was recently introduced for low-dose CT reconstruction to leverage the interpretability and the flexibility of model-based methods to incorporate various plugins, such as trained deep learning (DL) neural networks. H
Externí odkaz:
http://arxiv.org/abs/2202.07173
Together with the improvements in state-of-the-art accuracies of various tasks, deep learning models are getting significantly larger. However, it is extremely difficult to implement these large models because limited GPU memory makes it impossible t
Externí odkaz:
http://arxiv.org/abs/2105.14500
The recent Natural Language Processing techniques have been refreshing the state-of-the-art performance at an incredible speed. Training huge language models is therefore an imperative demand in both industry and academy. However, huge language model
Externí odkaz:
http://arxiv.org/abs/2105.14450
Huge neural network models have shown unprecedented performance in real-world applications. However, due to memory constraints, model parallelism must be utilized to host large models that would otherwise not fit into the memory of a single device. P
Externí odkaz:
http://arxiv.org/abs/2104.05343
Akademický článek
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Publikováno v:
In Omega July 2022 110
Publikováno v:
Organic Letters; 11/15/2024, Vol. 26 Issue 45, p9665-9670, 6p